Triple

T14237818
Position Surface form Disambiguated ID Type / Status
Subject Gausdal municipality E352931 entity
Predicate hasVillage P4011 FINISHED
Object Svingvoll
Svingvoll is a small village in Innlandet county, Norway, known for its rural setting and proximity to skiing and outdoor recreation areas.
E1105388 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Svingvoll | Statement: [Gausdal municipality, hasVillage, Svingvoll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Svingvoll
Context triple: [Gausdal municipality, hasVillage, Svingvoll]
  • A. Vålebru
    Vålebru is a village in Innlandet county, Norway, serving as the main local hub for services and administration in Ringebu municipality.
  • B. Vennesla
    Vennesla is a municipality in Agder county in southern Norway, known for its industrial heritage and scenic river valley setting.
  • C. Mortensrud
    Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
  • D. Vestfossen
    Vestfossen is a village in Buskerud, Norway, known for its industrial heritage and contemporary art scene, including the Vestfossen Kunstlaboratorium.
  • E. Bekkestua
    Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Svingvoll
Triple: [Gausdal municipality, hasVillage, Svingvoll]
Generated description
Svingvoll is a small village in Innlandet county, Norway, known for its rural setting and proximity to skiing and outdoor recreation areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Svingvoll
Target entity description: Svingvoll is a small village in Innlandet county, Norway, known for its rural setting and proximity to skiing and outdoor recreation areas.
  • A. Vålebru
    Vålebru is a village in Innlandet county, Norway, serving as the main local hub for services and administration in Ringebu municipality.
  • B. Vennesla
    Vennesla is a municipality in Agder county in southern Norway, known for its industrial heritage and scenic river valley setting.
  • C. Mortensrud
    Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
  • D. Vestfossen
    Vestfossen is a village in Buskerud, Norway, known for its industrial heritage and contemporary art scene, including the Vestfossen Kunstlaboratorium.
  • E. Bekkestua
    Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de62422e28819089e7115052a28c96 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a31ef388190bc3082abc1c25ff4 completed May 8, 2026, 5:52 a.m.
NEDg Description generation batch_69fd7cac286c8190a87bbcd3b7d4d3ac completed May 8, 2026, 6:03 a.m.
NED2 Entity disambiguation (via description) batch_69fd7d24601c8190a95567703123e33b completed May 8, 2026, 6:05 a.m.
Created at: April 10, 2026, 1:08 a.m.